Galileo Provides Agentic Evaluations to Spur Developers to Build Reliable AI Agents
Galileo, a leading AI Evaluation Platform, is introducing Agentic Evaluations, a transformative solution for evaluating the performance of AI agents powered by large language models (LLMs).
With Agentic Evaluations, developers gain the tools and insights needed to optimize agent performance and reliability at every step—ensuring readiness for real-world deployment, according to the company.
“AI agents are unlocking a new era of innovation, but their complexity has made it difficult for developers to understand where failures occur and why,” said Vikram Chatterji, CEO and co-founder of Galileo. “With LLMs driving decision-making, teams need tools to pinpoint and understand an agent’s failure modes. Agentic Evaluations delivers unprecedented visibility into every action, across entire workflows, empowering developers to build, ship, and scale reliable, trustworthy AI solutions.”
AI agents—autonomous systems that use LLM-driven planning to perform a wide range of tasks—are reshaping industries by automating complex, multi-step workflows. They are rapidly gaining traction for their ability to drive material ROI across sectors such as customer service, education, and telecommunications, the company said.
However, building and evaluating agents introduces novel challenges for developers, which existing evaluation tools fail to address including non-deterministic paths, increased failure points and cost management. As agents take on more complex and impactful workflows, the stakes—and the potential impact of errors—grow significantly.
Galileo’s Agentic Evaluations offers an end-to-end framework that offers both system-level and step-by-step evaluation, enabling developers to build reliable, resilient, and high-performing AI agents, according to Galileo.
Key capabilities include:
- Complete visibility into agent workflows
- Agent-specific metrics
- Granular cost and latency tracking
- Seamless integrations
- Proactive insights
"End-to-end visibility into agent completions is a game changer," said Surojit Chatterjee, co-founder and CEO of Ema. "With agents taking multiple steps and paths, this feature makes debugging and improving them faster and easier. Developers know that AI agents need to be tested and refined over time. Galileo makes that easier and faster with end-to-end visibility and agent-specific evaluation metrics."
Agentic Evaluations is now available to all Galileo users.
For more information about this news, visit www.galileo.ai.